DATA ANALYST TRAINING IN ANNA NAGAR

9,691 Ratings

Looking to become a skilled Data Analyst? Join our industry-focused Data Analyst Course Training in Anna Nagar and gain hands-on experience in tools like Python, Excel, SQL, Power BI, and more. Whether you’re a fresher or a professional looking to upskill, this course is designed to make you job-ready.

DURATION

60 HRS

TIME COMMITMENT

12-15 Hrs / Week

PLACEMENT ASSURED

2 MONTHS

Alumini

60,000+

Our Students are Ruling across the Globe in Top Mnc's

Wait!! Don't skip your Dream Career

Signup & Get 20% Instant Discount

aws training in anna nagar

Best Software Training Institute in Chennai

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All the skills you need in one place!!

SQL

40 Hours 6541 students

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Python

90 Hours 7419 students

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Power BI

60 Days 700 students

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Data Analyst

10 Weeks 0 students

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aws training in anna nagar

Curriculum Designed by Experts

Expertly Designed Curriculum for Future - Ready Professionals.

Industry Oriented Curriculum

A comprehensive program created by our industry professionals that will help you land a job at the IT company of your dreams.

30+ Case Studies

20+ Practical Classes

25+ Live Sessions

Module 1: Introduction to Data Science with R

What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
Hands-on Exercise – Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.

Module 2: Data Exploration

Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.

Module 3: Data Manipulation

Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
Hands-on Exercise –Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.

Module 4: Data Visualization

Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.

Module 5: Introduction to Statistics

Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.

Module 6: Machine Learning

Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.

Module 7: Logistic Regression

Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.

Module 8: Decision Trees & Random Forest

What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.

Module 9: Unsupervised learning

What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.

Module 10: Association Rule Mining & Recommendation Engine

Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.

Module 11: Introduction to Artificial Intelligence (self paced)

introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.

Module 12: Time Series Analysis (self paced)

What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.

Module 13: Support Vector Machine - (SVM) (self paced)

Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.

Module 14: Naïve Bayes (self paced)

what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.

Module 15: Text Mining (self paced)

Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.

aws training in anna nagar

Need Customized Curriculum?

Data Analyst Trainer Profile in Trendnologies:

Our Data Science Training in Anna Nagar. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
As all Trainers are Data Science domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science training to the students.

aws training in anna nagar

Interview Questions & Answers for Data Analyst

Tableau Interview Questions and Answers

Power BI Interview Questions and Answers

Types of Training

Classroom Training

Online Training

BEST DATA ANALYST TRAINING IN ANNA NAGAR WITH 100% PLACEMENTS GUARANTEE

Data Analyst Training in Anna Nagar at Trendnologies is your ultimate gateway to a high-paying career in analytics. Our expert-led training program covers everything from data analysis fundamentals to advanced tools and techniques, ensuring you gain in-depth knowledge of Excel, SQL, Python, Power BI, Tableau, and more. With a 100% placement guarantee, we equip you with the practical skills and real-time project experience needed to land top Data Analyst roles in leading IT and business firms.

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Our Students Success Stories

SQL

PYTHON

Data Engineer

Power BI

Tableau

Data Visualization

Statistics Analysis

R

Microsoft Excel

Database Management

Data Cleansing

Data Analyst Job Placement Process

Course Completion

Get hands-on training from experts.

Live Project Training

Experience real-time projects Training to enhance your Skills.

Resume Building

Experts help you in building the best of your portfolio.

Interview Preparation

Know where you stand in the skill mastery

Placements

Facilitating career success through strategic industry placements

Upcoming Batches

Sat-Sun

Weekend Batch

(10:00 AM - 1:30 PM)

Mon-Fri

Weekdays Batch

08:00 AM & 10:00 AM

Mon-Fri

Weekdays Batch

08:00 AM & 10:00 AM

Sat-Sun

Weekend Fastrack Batch

(09:00 AM & 2:00 PM)

Our Recent Offers & Testimonials

Job Opportunities in Data Analyst Training

Data Analyst is preferred by over 35% of companies. In the tech industry, Data Analyst is the most widely used and in-World companies.

You can work as a

Data Analyst

Data Scientist

Business Analyst

Machine Learning Engineer

Deep Learning Engineer

Data Engineer

Upcoming In-Demand Jobs

AI Engineer

Cybersecurity Analyst

Quantitative Analyst

Data Science Manager

Salary in AWS (FOR Beginners)

Designation	Salary Range
Business Analyst	₹5 LPA – ₹15 LPA
Data Analyst	₹6 LPA – ₹15 LPA
AI Engineer	₹6 LPA – ₹16 LPA
Quantitative Analyst	₹5 LPA – ₹18 LPA
Data Engineer	₹6 LPA – ₹12 LPA
Data Scientist	₹6 LPA – ₹16 LPA
Data Science Manager	₹6 LPA – ₹12 LPA

Enroll Now for Best Offers from Trendnologies

Course Price at

40,000

29,500 /- Only

If you have Three or more people in your training we will be delighted to offer you a group discount.

3 to 4 Peoples
10 % Discount
5 to 9 Peoples
15 % Discount
10+ Peoples
20 % Discount

Have Queries? Talk to our Career Counsellor for more Guidance on picking the right Career for you!

Why Choose Trendnologies to Learn in Chennai?

Real-Time Experts as Trainers

Our courses are delivered by industry experts with extensive experience and deep knowledge in their fields. They provide real-world insights and practical skills to ensure you gain the expertise needed for success.

Comprehensive Curriculum

We offer a wide range of courses covering the latest technologies and industry trends. Our curriculum is designed to be both comprehensive and current, providing you with a solid foundation and advanced knowledge.

Hands-On Training

At Trendnologies, we emphasize practical, hands-on learning. Our training programs include real-world projects and case studies to ensure you can apply your knowledge effectively.

Flexible Learning Options

Choose from flexible learning formats, including Instructor-Led Live Online and Classroom Training. Our courses are designed to fit your schedule and learning preferences.

100% Placement Guarantee

We are committed to your career success. Our dedicated placement team provides resume building, interview preparation, and job placement assistance to help you secure your dream job.

Personalized Support

We provide personalized attention and support throughout your learning journey. Our instructors and support staff are always available to help you with any questions or challenges you may face.

Trendnologies - Not So Far Away

aws training in anna nagar

OMR - CHENNAI

MEDAVAKKAM - CHENNAI

PORUR - CHENNAI

ANNA NAGAR - CHENNAI

GANAPATHY - COIMBATORE

FAQ

Anyone with a basic understanding of mathematics and interest in data can join. No coding background required.

Yes, we offer 100% placement support including resume building, mock interviews, and job referrals.

You’ll learn Excel, SQL, Python, Power BI/Tableau, and data visualization techniques.

Yes, you’ll receive an industry-recognized certificate after completing the course and assessments.

Absolutely! Contact us to schedule a free demo session with our expert trainer.

Yes, we offer both classroom and instructor-led live online training.

Yes, you will work on industry-relevant projects to build your portfolio.

Entry-level Data Analysts can earn between ₹4-6 LPA, with scope to grow quickly based on skills and experience.

We offer both online and classroom training to ensure flexible learning:

Instructor-led online sessions with real-time doubt clearance
Classroom training at Anna Nagar for hands-on experience

You can call us directly or fill out the registration form on our website. Our team will guide you through the process.

aws training in anna nagar

Enroll Today!

Don’t wait to start your career in the exciting field of Data Analyst. Join our Data Analyst Training in Anna Nagar and take the first step towards becoming an expert. Ready to start your data analytics journey? Enroll now and transform your career!

OTHER COURSES

OTHER COURSES

DATA ANALYST TRAINING IN ANNA NAGAR

DURATION

TIME COMMITMENT

PLACEMENT ASSURED

Alumini

Our Students are Ruling across the Globe in Top Mnc's

Wait!! Don't skip your Dream Career

Signup & Get 20% Instant Discount

Learn Tech from Latest Courses

Curriculum Designed by Experts

Industry Oriented Curriculum

30+ Case Studies

20+ Practical Classes

25+ Live Sessions

Need Customized Curriculum?

Data Analyst Trainer Profile in Trendnologies:

Interview Questions & Answers for Data Analyst

Types of Training

Classroom Training

Online Training

BEST DATA ANALYST TRAINING IN ANNA NAGAR WITH 100% PLACEMENTS GUARANTEE

Our Students Success Stories

SQL

PYTHON

Data Engineer

Power BI

Tableau

Data Visualization

Statistics Analysis

R

Microsoft Excel

Database Management

Data Cleansing

Data Analyst Job Placement Process

Course Completion

Live Project Training

Resume Building

Interview Preparation

Placements

Upcoming Batches

Sat-Sun

Weekend Batch

(10:00 AM - 1:30 PM)

Mon-Fri

Weekdays Batch

08:00 AM & 10:00 AM

Mon-Fri

Weekdays Batch

08:00 AM & 10:00 AM

Sat-Sun

Weekend Fastrack Batch

(09:00 AM & 2:00 PM)

Job Opportunities in Data Analyst Training

You can work as a

Upcoming In-Demand Jobs

Salary in AWS (FOR Beginners)

Enroll Now for Best Offers from Trendnologies

Course Price at

40,000

29,500 /- Only

Have Queries? Talk to our Career Counsellor for more Guidance on picking the right Career for you!

Why Choose Trendnologies to Learn in Chennai?

Real-Time Experts as Trainers

Comprehensive Curriculum

Hands-On Training

Flexible Learning Options

100% Placement Guarantee

Personalized Support

Trendnologies - Not So Far Away

OMR - CHENNAI

MEDAVAKKAM - CHENNAI

PORUR - CHENNAI

ANNA NAGAR - CHENNAI

GANAPATHY - COIMBATORE

FAQ

Enroll Today!

Company

Testimonials